Andrew Saykin

  • 28768 Citations
  • 88 h-Index
1986 …2021
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Publications 1986 2019

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Conference contribution
2019

A dirty multi-task learning method for multi-modal brain imaging genetics

for the Alzheimer’s Disease Neuroimaging Initiative, Jan 1 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 447-455 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi-task Learning
Brain
Imaging
Imaging techniques
Modality

Diagnosis status guided brain imaging genetics via integrated regression and sparse canonical correlation analysis

Du, L., Liu, K., Yao, X., Risacher, S. L., Guo, L., Saykin, A. J. & Shen, L., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 356-359 4 p. 8759489. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Brain
Imaging techniques
Endophenotypes
Learning

Disruption of gene co-expression network along the progression of Alzheimer's disease

Upadhyaya, Y., Xie, L., Salama, P., Nho, K., Saykin, A. J. & Yan, J., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834551. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alzheimer Disease
Genes
Gene Expression
Disease Progression
Cognition
1 Citation (Scopus)

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics

Du, L., Liu, K., Yao, X., Risacher, S. L., Han, J., Guo, L., Saykin, A. & Shen, L., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 356-361 6 p. 8621298. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Single Nucleotide Polymorphism
Feature extraction
Brain
Learning

Interactive Machine Learning by Visualization: A Small Data Solution

Li, H., Fang, S., Mukhopadhyay, S., Saykin, A. & Shen, L., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3513-3521 9 p. 8621952. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Visualization
Data mining
Feedback
Data visualization

Mining regional imaging genetic associations via voxel-wise enrichment analysis

Yao, X., Cong, S., Yan, J., Risacher, S. L., Saykin, A. J., Moore, J. H. & Shen, L., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834450. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Imaging techniques
Neuroimaging
Phenotype
Single Nucleotide Polymorphism

Prioritization of cognitive assessments in Alzheimer's disease via learning to rank using brain morphometric data

Peng, B., Yao, X., Risacher, S. L., Saykin, A. J., Shen, L. & Ning, X., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834618. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Biomarkers
Brain
Alzheimer Disease
Learning
Precision Medicine

Prioritizing Amyloid Imaging Biomarkers in Alzheimer’s Disease via Learning to Rank

for the ADNI, Jan 1 2019, Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhu, D., Yan, J., Huang, H., Shen, L., Thompson, P. M., Westin, C-F., Pennec, X., Joshi, S., Nielsen, M., Sommer, S., Fletcher, T. & Durrleman, S. (eds.). Springer, p. 139-148 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11846 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alzheimer's Disease
Biomarkers
Imaging
Imaging techniques
Paradigm
2018
3 Citations (Scopus)

Codon bias among synonymous rare variants is associated with alzheimer’s disease imaging biomarker

Alzheimer’s Disease Neuroimaging Initiative (ADNI), Jan 1 2018, PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018. 212669 ed. World Scientific Publishing Co. Pte Ltd, p. 365-376 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Biomarkers
Genes
Imaging techniques
Neuroimaging
Association reactions
1 Citation (Scopus)

Heritability estimation of reliable connectomic features

Xie, L., Amico, E., Salama, P., Wu, Y-C., Fang, S., Sporns, O., Saykin, A., Goñi, J., Yan, J. & Shen, L., Jan 1 2018, Connectomics in NeuroImaging - 2nd International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Wu, G., Schirmer, M. D., Chung, A. W., Rekik, I. & Munsell, B. (eds.). Springer Verlag, p. 58-66 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11083 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Heritability
Brain
Imaging techniques
Imaging
Fiber

Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model

Yan, J., Liu, K., Lv, H., Amico, E., Risacher, S. L., Wu, Y-C., Fang, S., Sporns, O., Saykin, A., Goni, J. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 6-9 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Connectome
Brain
Joints
Association reactions
Data storage equipment
2 Citations (Scopus)

Joint high-order multi-task feature learning to predict the progression of Alzheimer’s disease

ADNI, Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 555-562 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alzheimer's Disease
Progression
Higher Order
Predict
Brain
1 Citation (Scopus)

Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis

Liu, K., Wang, H., Risacher, S., Saykin, A. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 1402-1405 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Cluster Analysis
Alzheimer Disease
Neuroimaging
Technology
2 Citations (Scopus)

Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning

Lu, L., Wang, H., Yao, X., Risacher, S., Saykin, A. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 545-548 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Learning
Imaging techniques
Regression analysis
Masks
1 Citation (Scopus)

Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes

Svaldi, D. O., Goñi, J., Bharthur Sanjay, A., Amico, E., Risacher, S. L., West, J. D., Dzemidzic, M., Saykin, A. & Apostolova, L., Jan 1 2018, Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings. Stoyanov, D., Sotiras, A., Papiez, B., Dalca, A. V., Martel, A., Parisot, S., Ferrante, E., Maier-Hein, L., Sabuncu, M. R., Shen, L. & Taylor, Z. (eds.). Springer Verlag, p. 74-82 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11044 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alzheimer's Disease
Identifiability
Diagnostics
Connectivity
Biomarkers
2017
1 Citation (Scopus)

A fast SCCA algorithm for big data analysis in brain imaging genetics

Alzheimer’s Disease Neuroimaging Initiative, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - 1st International Workshop, GRAIL 2017 6th International Workshop, MFCA 2017 and 3rd International Workshop, MICGen 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10551 LNCS. p. 210-219 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10551 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Canonical Correlation Analysis
Brain
Data analysis
Fast Algorithm
Imaging

BECA: A Software Tool for Integrated Visualization of Human Brain Data

Li, H., Fang, S., Zigon, B., Sporns, O., Saykin, A., Goñi, J. & Shen, L., Jan 1 2017, Brain Informatics - International Conference, BI 2017, Proceedings. Springer Verlag, Vol. 10654 LNAI. p. 285-291 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10654 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Software Tools
Brain
Visualization
Plug-in
Modality
1 Citation (Scopus)

Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration

Cong, S., Rizkalla, M., Salama, P., Risacher, S. L., West, J. D., Wu, Y-C., Apostolova, L., Tallman, E., Saykin, A. & Shen, L., Mar 2 2017, 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016. Institute of Electrical and Electronics Engineers Inc., 7870109

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Data storage equipment
Magnetic Resonance Imaging
4 Citations (Scopus)

Identifying associations between brain imaging phenotypes and genetic factors via a novel structured SCCA approach

Du, L., Zhang, T., Liu, K., Yan, J., Yao, X., Risacher, S. L., Saykin, A., Han, J., Guo, L. & Shen, L., 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, Vol. 10265 LNCS. p. 543-555 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Canonical Correlation Analysis
Phenotype
Brain
Imaging
Imaging techniques
4 Citations (Scopus)

Longitudinal genotype-phenotype association study via temporal structure auto-learning predictive model

The ADNI, 2017, Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Springer Verlag, Vol. 10229 LNCS. p. 287-302 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10229 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Predictive Model
Genotype
Phenotype
Brain

Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules

Yao, X., Yan, J., Risacher, S., Moore, J., Saykin, A. & Shen, L., Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6170-6174 5 p. 7953342

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Genes
Imaging techniques
Tissue
Support vector machines
Learning systems
1 Citation (Scopus)

New probabilistic multi-graph decomposition model to identify consistent human brain network modules

Luo, D., Huo, Z., Wang, Y., Saykin, A., Shen, L. & Huang, H., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Institute of Electrical and Electronics Engineers Inc., p. 301-310 10 p. 7837854

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Decomposition
Diffusion tensor imaging
Electric network analysis
Computational complexity
2 Citations (Scopus)

Predicting interrelated Alzheimer’s disease outcomes via new self-learned structured low-rank model

Wang, X., Liu, K., Yan, J., Risacher, S. L., Saykin, A., Shen, L. & Huang, H., 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, Vol. 10265 LNCS. p. 198-209 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alzheimer's Disease
Model
Classification Problems
Disorder
Overlap
3 Citations (Scopus)

Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics

Du, L., Zhang, T., Liu, K., Yao, X., Yan, J., Risacher, S. L., Guo, L., Saykin, A. & Shen, L., Jan 17 2017, Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016. Institute of Electrical and Electronics Engineers Inc., p. 707-711 5 p. 7822605

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Brain
Imaging techniques
Feature extraction
Benchmarking

Transcriptome-guided imaging genetic analysis via a novel sparse CCA algorithm

Alzheimer’s Disease Neuroimaging Initiative, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - 1st International Workshop, GRAIL 2017 6th International Workshop, MFCA 2017 and 3rd International Workshop, MICGen 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10551 LNCS. p. 220-229 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10551 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Canonical Correlation Analysis
Imaging
Imaging techniques
Nucleotides
Polymorphism
2016
1 Citation (Scopus)

A new statistical image analysis approach and its application to Hippocampal morphometry

ADNI, 2016, Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Springer Verlag, Vol. 9805. p. 302-310 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9805).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Morphometry
Image Analysis
Image analysis
Statistical Analysis
Random Field
3 Citations (Scopus)

Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer’s disease

Hao, X., Yan, J., Yao, X., Risacher, S. L., Saykin, A., Zhang, D. & Shen, L., 2016, Pacific Symposium on Biocomputing 2016, PSB 2016. World Scientific Publishing Co. Pte Ltd, p. 108-119 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Biomarkers
Imaging techniques
Nucleotides
Polymorphism
2015
2 Citations (Scopus)

GN-SCCA: Graphnet based sparse canonical correlation analysis for brain imaging genetics

Du, L., Yan, J., Kim, S., Risacher, S. L., Huang, H., Inlow, M., Moore, J. H., Saykin, A., Shen, L. & Alzheimer’s Disease Neuroimaging Initiative, D. N. I., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9250. p. 275-284 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9250).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Canonical Correlation Analysis
Brain
Imaging
Neuroimaging
Imaging techniques
4 Citations (Scopus)

Identifying connectome module patterns via new balanced multi-graph normalized cut

Gao, H., Cai, C., Yan, J., Yan, L., Cortes, J. G., Wang, Y., Nie, F., West, J., Saykin, A., Shen, L. & Huang, H., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9350. p. 169-176 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9350).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multigraph
Brain
Module
Computational Neuroscience
Graph Clustering
2 Citations (Scopus)

Integrated visualization of human brain connectome data

Li, H., Fang, S., Goni, J., Contreras, J. A., Liang, Y., Cai, C., West, J. D., Risacher, S. L., Wang, Y., Sporns, O., Saykin, A., Shen, L. & ADNI, 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9250. p. 295-305 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9250).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Visualization
Neuroimaging
Activation
Chemical activation
3 Citations (Scopus)

Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease

Cong, S., Rizkalla, M., Salama, P., West, J., Risacher, S., Saykin, A. & Shen, L., Sep 28 2015, Midwest Symposium on Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-September. 7282173

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Biomarkers
Magnetic resonance
Imaging techniques
Data storage equipment
2 Citations (Scopus)

Two-dimensional enrichment analysis for mining high-level imaging genetic associations

Yao, X., Yan, J., Kim, S., Nho, K., Risacher, S. L., Inlow, M., Moore, J. H., Saykin, A., Shen, L. & The Alzheimer’s Disease Neuroimaging Initiative, A. D. N. I., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9250. p. 115-124 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9250).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Genetic Association
Mining
Imaging
Imaging techniques
Brain
2014
3 Citations (Scopus)

Accelerating sparse canonical correlation analysis for large brain imaging genetics data

Yan, J., Zhang, H., Du, L., Wernert, E., Saykin, A. & Shen, L., 2014, ACM International Conference Proceeding Series. Association for Computing Machinery, 4

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Neuroimaging
Imaging techniques
Nucleotides
Polymorphism
21 Citations (Scopus)

A novel structure-aware sparse learning algorithm for brain imaging genetics

Du, L., Yan, J., Kim, S., Risacher, S. L., Huang, H., Inlow, M., Moore, J. H., Saykin, A. & Shen, L., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 ed. Springer Verlag, Vol. 8675 LNCS. p. 329-336 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8675 LNCS, no. PART 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Canonical Correlation Analysis
Learning algorithms
Learning Algorithm
Brain
Imaging
7 Citations (Scopus)

Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM

Cong, S., Rizkalla, M., Du, E. Y., West, J., Risacher, S., Saykin, A. & Shen, L., Sep 23 2014, Midwest Symposium on Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., p. 813-816 4 p. 6908539

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Software packages
Neuroimaging
Biomarkers
Brain
Data storage equipment
9 Citations (Scopus)

Comparison of multi-sample variant calling methods for whole genome sequencing

Nho, K., West, J. D., Li, H., Henschel, R., Tavares, M. C., Bharthur, A., Weiner, M. W., Green, R. C., Toga, A. W. & Saykin, A., Dec 17 2014, International Conference on Systems Biology, ISB. IEEE Computer Society, p. 59-62 4 p. 6990432

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nucleotides
Deletion
Sequencing
Insertion
Genome
5 Citations (Scopus)

Data synthesis and method evaluation for brain imaging genetics

Sheng, J., Kim, S., Yan, J., Moore, J., Saykin, A. & Shen, L., Jul 29 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., p. 1202-1205 4 p. 6868091

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Brain
Imaging techniques
Nucleotides
Polymorphism
6 Citations (Scopus)

Human connectome module pattern detection using a new multi-graph MinMax cut model

Wang, D., Wang, Y., Nie, F., Yan, J., Cai, W., Saykin, A., Shen, L. & Huang, H., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 ed. Springer Verlag, Vol. 8675 LNCS. p. 313-320 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8675 LNCS, no. PART 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multigraph
Min-max
Brain
Network Connectivity
Module
1 Citation (Scopus)

Joint identification of imaging and proteomics biomarkers of alzheimer's disease using network-guided sparse learning

Yan, J., Huang, H., Kim, S., Moore, J., Saykin, A. & Shen, L., Jul 29 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., p. 665-668 4 p. 6867958

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Biomarkers
Proteomics
Alzheimer Disease
Joints
Learning
2013
6 Citations (Scopus)

A graph-based integration of multimodal brain imaging data for the detection of early mild cognitive impairment (E-MCI)

Kim, D., Kim, S., Risacher, S. L., Shen, L., Ritchie, M. D., Weiner, M. W., Saykin, A. & Nho, K., 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8159 LNCS. p. 159-169 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8159 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alzheimer's Disease
Brain
Imaging
Imaging techniques
Graph in graph theory
5 Citations (Scopus)

Network-guided sparse learning for predicting cognitive outcomes from MRI measures

Yan, J., Huang, H., Risacher, S. L., Kim, S., Inlow, M., Moore, J. H., Saykin, A. & Shen, L., 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8159 LNCS. p. 202-210 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8159 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance imaging
Imaging
Imaging techniques
Alzheimer's Disease
Biomarkers
5 Citations (Scopus)

PARP1 gene variation and microglial activity on [11C]PBR28 PET in older adults at risk for Alzheimer's disease

Kim, S., Nho, K., Risacher, S. L., Inlow, M., Swaminathan, S., Yoder, K., Shen, L., West, J. D., McDonald, B., Tallman, E. F., Hutchins, G., Fletcher, J., Farlow, M., Ghetti, B. & Saykin, A., 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8159 LNCS. p. 150-158 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8159 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Administrative data processing
Positron Emission Tomography
Positron emission tomography
Alzheimer's Disease
Genes
4 Citations (Scopus)

Structural brain network constrained neuroimaging marker identification for predicting cognitive functions

Wang, D., Nie, F., Huang, H., Yan, J., Risacher, S. L., Saykin, A. & Shen, L., 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7917 LNCS. p. 536-547 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7917 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Brain
Alzheimer's Disease
Feature Selection
Feature extraction
2012
40 Citations (Scopus)

High-order multi-task feature learning to identify longitudinal phenotypic markers for Alzheimer's disease progression prediction

Wang, H., Nie, F., Huang, H., Yan, J., Kim, S., Risacher, S. L., Saykin, A. & Shen, L., 2012, Advances in Neural Information Processing Systems. Vol. 2. p. 1277-1285 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Imaging techniques
Regression analysis
Trajectories
Data storage equipment
4 Citations (Scopus)

Multimodal neuroimaging predictors for cognitive performance using structured sparse learning

Yan, J., Risacher, S. L., Kim, S., Simon, J. C., Li, T., Wan, J., Wang, H., Huang, H., Saykin, A. & Shen, L., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7509 LNCS. p. 1-17 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7509 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Predictors
Alzheimer's Disease
Norm
Regression Model
37 Citations (Scopus)

Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease

Wan, J., Zhang, Z., Yan, J., Li, T., Rao, B. D., Fang, S., Kim, S., Risacher, S. L., Saykin, A. & Shen, L., 2012, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 940-947 8 p. 6247769

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Biomarkers
Learning algorithms
Brain
Imaging techniques
2011
34 Citations (Scopus)

Identifying neuroimaging and proteomic biomarkers for MCI and AD via the elastic net

Shen, L., Kim, S., Qi, Y., Inlow, M., Swaminathan, S., Nho, K., Wan, J., Risacher, S. L., Shaw, L. M., Trojanowski, J. Q., Weiner, M. W. & Saykin, A., 2011, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7012 LNCS. p. 27-34 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7012 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Elastic Net
Neuroimaging
Proteomics
Biomarkers
Magnetic resonance imaging
83 Citations (Scopus)

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance

Wang, H., Nie, F., Huang, H., Risacher, S., Ding, C., Saykin, A. & Shen, L., 2011, Proceedings of the IEEE International Conference on Computer Vision. p. 557-562 6 p. 6126288

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feature extraction
Brain
Imaging techniques
Data storage equipment
Neuroimaging
2010
5 Citations (Scopus)

An interactive user interface system for Alzheimer's intervention

Makedon, F., Zhang, R., Alexandrakis, G., Owen, C. B., Huang, H. & Saykin, A., 2010, ACM International Conference Proceeding Series. 35

Research output: Chapter in Book/Report/Conference proceedingConference contribution

User interfaces
Deterioration
Brain
Patient rehabilitation
Chemical activation
2009
2 Citations (Scopus)

Data synthesis and tool development for exploring imaging genomic patterns

Kim, S., Shen, L., Saykin, A. & West, J. D., 2009, 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2009 - Proceedings. p. 298-305 8 p. 4925742

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Imaging techniques
Brain
Genotyping Techniques
Genotype